We summarize the learning to match methods that we evaluate in our experimental study.
[1]} propose a categorization of learning to matching models as follows: representation-based models aim to obtain a representation for the text in both queries and documents; interaction-based models on the other hand, aim to capture the textual matching pattern between input texts.
We follow this organizing principle.
